What is a variational autoencoder (VAE)?

Updated May 16, 2026

Short answer

A VAE learns probabilistic latent representations for generative modeling.

Deep explanation

VAEs encode inputs into distributions (mean and variance) rather than fixed vectors, enabling sampling from latent space and generating new data points using KL divergence regularization.

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